AI Creative & Design Jobs

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5602287004  DO NOT APPLY BELOW Mission Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.   Overview Our team is committed to changing the way people read and with our exponential growth, we are looking for a strong QA engineer to help us succeed through testing mobile applications. We love a commitment to quality and risk assessment, maintaining documentation, and curiosity of testing trends and industry standards.   This is a full-time remote role and can be based anywhere globally.   What You’ll Do Develop and execute test plans, test cases, and test scripts for the Speechify iOS app, ensuring comprehensive coverage for both manual and automated testing. Collaborate with the development team to identify, reproduce, and document issues and defects in the iOS app. Utilize and maintain automation tools and frameworks for iOS, such as Appium, to increase efficiency and reduce manual testing efforts. Stay up-to-date with the latest industry trends, tools, and best practices in iOS testing and automation. Create and maintain test documentation, including test plans, test cases, and test summaries, ensuring they are clear, concise, and up-to-date. Communicate testing results, progress, and issues to project stakeholders, including developers, product managers, and customer support teams. Participate in agile development processes, attending daily stand-ups, sprint planning sessions, and retrospectives. Continuously identify opportunities for process and tool improvements, and work with the team to implement these enhancements.   An ideal candidate should have B.S. in Computer Science, related technical field or equivalent experience 3+ years of experience in QA engineering, with a focus on iOS testing Strong understanding of iOS app development and testing processes, including familiarity with Apple's Human Interface Guidelines and the App Store submission process. Experience with continuous integration and continuous delivery (CI/CD) pipelines, such as Bitrise, CircleCI. Solid understanding of Agile methodologies and experience working in an Agile environment. Excellent troubleshooting and problem-solving skills, with the ability to identify, analyze, and resolve issues in a timely manner. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Experience with version control systems, such as Git. Nice-to-Have: Experience with text-to-speech technologies. Familiarity with accessibility testing and guidelines, such as WCAG. Engineering at Speechify is exciting for a few reasons We provide an opportunity to not only increase your knowledge, but ours as well. We strongly believe is sustainable growth. As a startup, we put our customers and employees first. Our company vision allows for a lot of creative exploration. What does a future where people consume all information through audio look like? How do we create this future? We have life changing product market fit. Our users (people with disabilities, students, working professionals) report life changing experiences after discovering our product. We move very quickly We run many experiments and ship product updates multiple times every week. We are focused on customers We start from concrete user problems and build systems that solve them We value deep thinking We get to the right answers through careful thought and experimentation and love digging deeper into the details. What we offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5568049004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 30 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We’re looking for a fast, product-minded engineer to own and ship onboarding flows, in-app guidance, product documentation, “what’s new” surfaces, and integrated support that makes Speechify Studio intuitive from day one. You’ll operate at the intersection of UX, frontend, growth, and customer success. You’ll build React + Tailwind components, wire up tools like Intercom, Amplitude, and OpenAI APIs, and drive a seamless experience for both new and returning users. You’ll also connect analytics to our lifecycle and customer engagement tools—email, in-app messages, advertising—working closely with marketing to close the loop between product and growth. Expect to own both the interface and the language inside it, ship fast, and iterate constantly. What You’ll Do Build and maintain user onboarding, in-app tours, and changelogs Create and keep up-to-date tutorials and product documentation Integrate support tools (Intercom bots, contextual FAQs, help surfaces) Connect analytics (Amplitude) to lifecycle tools (email, ads, CRM) Use OpenAI APIs to power dynamic product tips and smart helpers Polish UI with Tailwind, always aiming for clarity, speed, and brand alignment An Ideal Candidate Should Have 5+ years with React, TypeScript, and Tailwind Excellent written English—you’re as confident writing copy as writing code Hands-on experience building onboarding, documentation, or growth loops Comfort with Amplitude, Intercom, OpenAI APIs, and email/CRM integration You ship fast, iterate constantly, and thrive with full ownership What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Why Join:  You’ll own critical surfaces that shape how users experience Speechify from day one. You’ll ship often, work across product and marketing, and play a key role in helping us scale user satisfaction, retention, and growth. Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5568049004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 30 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We’re looking for a fast, product-minded engineer to own and ship onboarding flows, in-app guidance, product documentation, “what’s new” surfaces, and integrated support that makes Speechify Studio intuitive from day one. You’ll operate at the intersection of UX, frontend, growth, and customer success. You’ll build React + Tailwind components, wire up tools like Intercom, Amplitude, and OpenAI APIs, and drive a seamless experience for both new and returning users. You’ll also connect analytics to our lifecycle and customer engagement tools—email, in-app messages, advertising—working closely with marketing to close the loop between product and growth. Expect to own both the interface and the language inside it, ship fast, and iterate constantly. What You’ll Do Build and maintain user onboarding, in-app tours, and changelogs Create and keep up-to-date tutorials and product documentation Integrate support tools (Intercom bots, contextual FAQs, help surfaces) Connect analytics (Amplitude) to lifecycle tools (email, ads, CRM) Use OpenAI APIs to power dynamic product tips and smart helpers Polish UI with Tailwind, always aiming for clarity, speed, and brand alignment An Ideal Candidate Should Have 5+ years with React, TypeScript, and Tailwind Excellent written English—you’re as confident writing copy as writing code Hands-on experience building onboarding, documentation, or growth loops Comfort with Amplitude, Intercom, OpenAI APIs, and email/CRM integration You ship fast, iterate constantly, and thrive with full ownership What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Why Join:  You’ll own critical surfaces that shape how users experience Speechify from day one. You’ll ship often, work across product and marketing, and play a key role in helping us scale user satisfaction, retention, and growth. Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5602287004  DO NOT APPLY BELOW Mission Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.   Overview Our team is committed to changing the way people read and with our exponential growth, we are looking for a strong QA engineer to help us succeed through testing mobile applications. We love a commitment to quality and risk assessment, maintaining documentation, and curiosity of testing trends and industry standards.   This is a full-time remote role and can be based anywhere globally.   What You’ll Do Develop and execute test plans, test cases, and test scripts for the Speechify iOS app, ensuring comprehensive coverage for both manual and automated testing. Collaborate with the development team to identify, reproduce, and document issues and defects in the iOS app. Utilize and maintain automation tools and frameworks for iOS, such as Appium, to increase efficiency and reduce manual testing efforts. Stay up-to-date with the latest industry trends, tools, and best practices in iOS testing and automation. Create and maintain test documentation, including test plans, test cases, and test summaries, ensuring they are clear, concise, and up-to-date. Communicate testing results, progress, and issues to project stakeholders, including developers, product managers, and customer support teams. Participate in agile development processes, attending daily stand-ups, sprint planning sessions, and retrospectives. Continuously identify opportunities for process and tool improvements, and work with the team to implement these enhancements.   An ideal candidate should have B.S. in Computer Science, related technical field or equivalent experience 3+ years of experience in QA engineering, with a focus on iOS testing Strong understanding of iOS app development and testing processes, including familiarity with Apple's Human Interface Guidelines and the App Store submission process. Experience with continuous integration and continuous delivery (CI/CD) pipelines, such as Bitrise, CircleCI. Solid understanding of Agile methodologies and experience working in an Agile environment. Excellent troubleshooting and problem-solving skills, with the ability to identify, analyze, and resolve issues in a timely manner. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Experience with version control systems, such as Git. Nice-to-Have: Experience with text-to-speech technologies. Familiarity with accessibility testing and guidelines, such as WCAG. Engineering at Speechify is exciting for a few reasons We provide an opportunity to not only increase your knowledge, but ours as well. We strongly believe is sustainable growth. As a startup, we put our customers and employees first. Our company vision allows for a lot of creative exploration. What does a future where people consume all information through audio look like? How do we create this future? We have life changing product market fit. Our users (people with disabilities, students, working professionals) report life changing experiences after discovering our product. We move very quickly We run many experiments and ship product updates multiple times every week. We are focused on customers We start from concrete user problems and build systems that solve them We value deep thinking We get to the right answers through careful thought and experimentation and love digging deeper into the details. What we offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5568049004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 30 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We’re looking for a fast, product-minded engineer to own and ship onboarding flows, in-app guidance, product documentation, “what’s new” surfaces, and integrated support that makes Speechify Studio intuitive from day one. You’ll operate at the intersection of UX, frontend, growth, and customer success. You’ll build React + Tailwind components, wire up tools like Intercom, Amplitude, and OpenAI APIs, and drive a seamless experience for both new and returning users. You’ll also connect analytics to our lifecycle and customer engagement tools—email, in-app messages, advertising—working closely with marketing to close the loop between product and growth. Expect to own both the interface and the language inside it, ship fast, and iterate constantly. What You’ll Do Build and maintain user onboarding, in-app tours, and changelogs Create and keep up-to-date tutorials and product documentation Integrate support tools (Intercom bots, contextual FAQs, help surfaces) Connect analytics (Amplitude) to lifecycle tools (email, ads, CRM) Use OpenAI APIs to power dynamic product tips and smart helpers Polish UI with Tailwind, always aiming for clarity, speed, and brand alignment An Ideal Candidate Should Have 5+ years with React, TypeScript, and Tailwind Excellent written English—you’re as confident writing copy as writing code Hands-on experience building onboarding, documentation, or growth loops Comfort with Amplitude, Intercom, OpenAI APIs, and email/CRM integration You ship fast, iterate constantly, and thrive with full ownership What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Why Join:  You’ll own critical surfaces that shape how users experience Speechify from day one. You’ll ship often, work across product and marketing, and play a key role in helping us scale user satisfaction, retention, and growth. Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5568049004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 30 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We’re looking for a fast, product-minded engineer to own and ship onboarding flows, in-app guidance, product documentation, “what’s new” surfaces, and integrated support that makes Speechify Studio intuitive from day one. You’ll operate at the intersection of UX, frontend, growth, and customer success. You’ll build React + Tailwind components, wire up tools like Intercom, Amplitude, and OpenAI APIs, and drive a seamless experience for both new and returning users. You’ll also connect analytics to our lifecycle and customer engagement tools—email, in-app messages, advertising—working closely with marketing to close the loop between product and growth. Expect to own both the interface and the language inside it, ship fast, and iterate constantly. What You’ll Do Build and maintain user onboarding, in-app tours, and changelogs Create and keep up-to-date tutorials and product documentation Integrate support tools (Intercom bots, contextual FAQs, help surfaces) Connect analytics (Amplitude) to lifecycle tools (email, ads, CRM) Use OpenAI APIs to power dynamic product tips and smart helpers Polish UI with Tailwind, always aiming for clarity, speed, and brand alignment An Ideal Candidate Should Have 5+ years with React, TypeScript, and Tailwind Excellent written English—you’re as confident writing copy as writing code Hands-on experience building onboarding, documentation, or growth loops Comfort with Amplitude, Intercom, OpenAI APIs, and email/CRM integration You ship fast, iterate constantly, and thrive with full ownership What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Why Join:  You’ll own critical surfaces that shape how users experience Speechify from day one. You’ll ship often, work across product and marketing, and play a key role in helping us scale user satisfaction, retention, and growth. Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

true

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

false

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role As an early member of our Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by ensuring we strategically manage and scale our computing resources to meet research and product needs. In this unique company, technology, and moment in history, your work will be critical to ensuring our infrastructure is efficient, scalable, and ready to support the deployment of safe, frontier AI at scale to the world. You will work closely with infrastructure engineers, product, and finance to understand current utilization patterns, identify optimization opportunities, and build models to forecast future capacity requirements. You've worked in cultures of excellence in the past and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Responsibilities: Analyze infrastructure and utilization data to define key metrics, understand trends, set team goals, provide actionable insights and identify optimization opportunities. Partner with stakeholders across engineering, research, product, operations and finance to improve predictability of capacity utilization and optimize the allocation of capacity across different users and products. Develop models to forecast future capacity needs based on business growth projections and product roadmaps. Identify and size opportunities to optimize infrastructure costs and performance, influencing the roadmap through your insights and recommendations. Build a data-driven culture within the infrastructure team by establishing foundational data best practices and making data more accessible. You might be a good fit if you have: 6+ years of experience in data science roles, specializing in solving infrastructure problems, with a focus on capacity/compute. Knowledge of cloud based billing systems and efficiency optimization. A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in Python, SQL, and data visualization tools. A bias for action and urgency, not letting perfect be the enemy of the effective. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. A deep curiosity and energy for pulling the thread on hard questions. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. The expected salary range for this position is:Annual Salary:$275,000—$355,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

false

About the jobMaincode is building sovereign AI models in Australia. We train foundation models from scratch, design new reasoning architectures, and deploy them on state-of-the-art GPU clusters. This is not fine-tuning someone else’s work. This is creating new systems from first principles. We’re hiring a research leader for our AI Residency program. Our AI Residency Program is a focused research collaboration with top academic talent: late-stage PhD students, postdocs, and professors, working on foundational AI research at the architectural level. Each cohort of residents joins us for 6-months to pursue ambitious projects that align with our mission, combining academic rigor with industry-scale infrastructure and execution. This is a full-time, permanent role with ongoing responsibility for sourcing and selecting residents, guiding them through their projects, supporting publication efforts, and ensuring impactful, aligned research outcomes. The program is already up and running, now we’re looking for a research leader to own its day-to-day execution. You’ll make sure the right people are selected, the right projects are pursued, and the research produced is impactful, publishable, and aligned with Maincode’s long-term goals. You’ll also lead sourcing, interviewing, and hiring of residents, and ensure each one’s experience is productive and inspiring. This is a hybrid role based in Australia.What you’ll doRun the AI Residency Program end-to-end, ensuring smooth operations, clear timelines, and high-impact outcomes.Source, recruit, and hire outstanding residents, managing the full candidate pipeline from outreach to signed offers.Select and greenlight projects in consultation with Maincode’s research leadership to ensure strategic alignment.Guide and mentor residents throughout their 6-month program, drawing on your academic and industry experience.Maintain research quality, ensuring outputs meet top-tier publication standards and practical applicability.Coordinate with internal research teams so residency work complements and extends Maincode’s own research agenda.Represent the program externally, building relationships with universities, research groups, and other AI communities. Who you areA senior academic researcher (postdoc or above) with deep expertise in AI and a broad understanding of the field’s directions.Experienced in supervising PhD-level research and managing multiple projects simultaneously.Skilled in candidate sourcing, interviewing, and selection for high-level research roles.Have a strong publication record in top AI/ML venues (NeurIPS, ICLR, ICML, etc.).Strong strategic judgment in choosing projects and people that balance novelty with long-term impact.A confident communicator who can work seamlessly with both academic researchers and industry engineers.Motivated to strengthen sovereign AI capability in Australia through academic–industry collaboration.Why Maincode We are a small, mission-driven team building some of the most advanced AI systems in Australia. We operate our own GPU clusters, run large-scale training, and work closely across research and engineering to push the frontier of what’s possible. You’ll be surrounded by people who:Care deeply about model internals, not just outputs.Build things that work at scale.Take pride in learning, experimenting, and shipping.Believe Australia must have independent, world-class AI systems.If you want to run a program that brings world-class researchers into an environment where they can test ideas at scale and make a lasting impact on the science of AI, we’d love to hear from you.

false

The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role We are seeking a Senior Computer Vision Engineer to lead the development of advanced multi-camera perception and localization systems with an integrated focus on image-based search, vector database integration, and re-ranking strategies. You will design and build algorithms that combine object tracking, scene understanding, and cross-camera reasoning with scalable retrieval systems to power high-precision localization and visual matching across large-scale deployments. This role requires strong expertise in computer vision, real-time systems, and search infrastructure, with a focus on turning visual data into actionable spatial intelligence.   Responsibilities Design and implement algorithms for multi-camera object detection, classification, and persistent tracking. Build scene understanding modules to extract landmarks, spatial layout, and semantic context from image streams. Develop cross-camera fusion and localization methods for consistent identification and positioning of objects. Architect and deploy visual search systems using vector databases (e.g., OpenSearch, FAISS, Milvus) for image-based retrieval and matching. Design and implement re-ranking techniques to improve retrieval precision based on context, metadata, and scene cues. Create tools and metrics to evaluate retrieval quality, localization accuracy, and perception robustness. Collaborate across ML, backend, and infrastructure teams to ensure scalable, real-time deployment. Investigate system-level issues, drive debugging efforts, and improve model and system performance. Mentor junior engineers and contribute to long-term vision for perception, localization, and image retrieval.   Qualifications  M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field. 5+ years of industry experience in computer vision, image retrieval, or perception systems. Strong background in object detection, tracking, and scene understanding using multi-camera inputs. Deep understanding of vector-based retrieval systems and experience with OpenSearch, FAISS, or similar tools. Proficiency in Python or C++, with hands-on experience in PyTorch, TensorFlow, and OpenCV. Experience in building large-scale image retrieval pipelines, including feature extraction, indexing, and search optimization. Knowledge of multi-view geometry, and cross-camera identity association. Experience evaluating and tuning re-ranking strategies using contextual and multi-modal signals. Exposure to cloud-based deployment of search systems (e.g., OpenSearch cluster tuning, sharding, replication). Experience with edge deployment of perception pipelines (e.g., Jetson, Qualcomm). Publications or patents in the fields of visual search, localization, or multi-camera perception.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

false

The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role We are seeking a Senior Machine Learning Engineer to play a key role to join our growing team. As a key member of the Advanced Technologies team, you will play a critical role in designing, developing, and deploying state-of-the-art computer vision and recommendation models that power our core products and solutions. Your work will involve tackling challenging problems in object detection, tracking, OCR, video analytics, and multi-modal systems. This role involves a unique blend of technical expertise in data and machine learning, innovative thinking, and a passion for data-driven solutions.     Responsibilities Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, itracking, OCR, image search, and scene understanding. Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments. Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions. Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions. Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment. Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices. Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives. Mentor junior team members, providing technical guidance and fostering professional growth. Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning.     Qualifications  MS or PhD (preferred) in Computer Science, Engineering, or a related field, or equivalent work experience.   5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production. Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT). Experience with C++ is a plus.  Strong experience with model optimization (e.g., quantization, pruning) and deployment on various platforms (cloud, edge, or mobile). Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes) Proven experience in building and maintaining data pipelines (e.g., Airflow).  Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins).   Excellent communication skills, capable of presenting complex technical information clearly.   Experience in high-growth, innovative environments is a plus.   Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong plus.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

false

The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Manager to the Central Cloud Infrastructure team: the pivotal engineering group that governs cloud usage, manages foundational elements of the cloud, develops shared tooling for managing cloud resources, supports other teams through consultancy, and ensures the cloud is secure / meets compliance requirements. With a holistic perspective on Metropolis's cloud ecosystem the team provides support for sub-systems such as workload orchestration, data persistence, observability, and endpoint access. In this role you will lead a team of engineers in creating a substrate of systems, developing best practices, and engineering breakthroughs that accelerate other teams while maintaining the health of Metropolis's cloud and increasing the velocity of the CCI team itself. As a senior member of the Advanced Technologies Group you will provide technical as well as both intra- and inter- team leadership to find optimal solutions and strategies for a diverse set of areas of concern at various timeframes and a growing suite of verticals.   Responsibilities Facilitate the further development by team members of overall team strategy and scope for various timeframes and directly contribute to that planning. Support the tactical coordination of work-streams and prioritization of items within those streams across team members based on technical dependencies, business urgency, and other considerations. Ensure talent development by identifying opportunities for and supporting team members' participation in technical and leadership growth opportunities. Foster a collaborative atmosphere that delivers business value at an increasing velocity. Maximize the utility of engineering deliverables (code, documentation, etc.) by promoting their socialization, identifying opportunities for further value extraction, and enabling reusability. Aid CCI team members by providing timely and relevant knowledge of the priorities / plans of other teams by maintaining informative communications and collaborative relations across the company. Help broadcast the goals, activities, and requirements of the team and provide meaningful measures of success and progress to upper management. Be a stakeholder for the cloud and related systems with a vision for the long-term health, performance, efficiency, and utility of these resources. Participate in an on-call system to handle high urgency issues.   Qualifications  BS, MS or PhD in Computer Science or a relevant engineering discipline. 8+ years of experience with at least 2+ years of experience leading and managing cloud infrastructure related engineering teams. 2+ years of experience as a hands-on senior, staff or principal engineer before transitioning into managing teams. A inter- and intra- team facilitator mindset while recognizing the technical and organizational leadership role possible of a central cloud infrastructure team. Experience with meeting compliance requirements for cloud environments. Experience crafting disaster recovery plans and architecting technical solutions. Track record of successfully developing cloud infrastructure that meets product requirements. Technical experience with AWS, Terraform, Terraform wrappers, Kubernetes, EKS, Helm, containerization, SQL databases, cloud networking, and Python. Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences. Previous experience working inside innovative, high-growth environments is a plus.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $200,000.00 to $250,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

false

The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Manager to the Central Cloud Infrastructure team: the pivotal engineering group that governs cloud usage, manages foundational elements of the cloud, develops shared tooling for managing cloud resources, supports other teams through consultancy, and ensures the cloud is secure / meets compliance requirements. With a holistic perspective on Metropolis's cloud ecosystem the team provides support for sub-systems such as workload orchestration, data persistence, observability, and endpoint access. In this role you will lead a team of engineers in creating a substrate of systems, developing best practices, and engineering breakthroughs that accelerate other teams while maintaining the health of Metropolis's cloud and increasing the velocity of the CCI team itself. As a senior member of the Advanced Technologies Group you will provide technical as well as both intra- and inter- team leadership to find optimal solutions and strategies for a diverse set of areas of concern at various timeframes and a growing suite of verticals.   Responsibilities Facilitate the further development by team members of overall team strategy and scope for various timeframes and directly contribute to that planning. Support the tactical coordination of work-streams and prioritization of items within those streams across team members based on technical dependencies, business urgency, and other considerations. Ensure talent development by identifying opportunities for and supporting team members' participation in technical and leadership growth opportunities. Foster a collaborative atmosphere that delivers business value at an increasing velocity. Maximize the utility of engineering deliverables (code, documentation, etc.) by promoting their socialization, identifying opportunities for further value extraction, and enabling reusability. Aid CCI team members by providing timely and relevant knowledge of the priorities / plans of other teams by maintaining informative communications and collaborative relations across the company. Help broadcast the goals, activities, and requirements of the team and provide meaningful measures of success and progress to upper management. Be a stakeholder for the cloud and related systems with a vision for the long-term health, performance, efficiency, and utility of these resources. Participate in an on-call system to handle high urgency issues.   Qualifications  BS, MS or PhD in Computer Science or a relevant engineering discipline. 8+ years of experience with at least 2+ years of experience leading and managing cloud infrastructure related engineering teams. 2+ years of experience as a hands-on senior, staff or principal engineer before transitioning into managing teams. A inter- and intra- team facilitator mindset while recognizing the technical and organizational leadership role possible of a central cloud infrastructure team. Experience with meeting compliance requirements for cloud environments. Experience crafting disaster recovery plans and architecting technical solutions. Track record of successfully developing cloud infrastructure that meets product requirements. Technical experience with AWS, Terraform, Terraform wrappers, Kubernetes, EKS, Helm, containerization, SQL databases, cloud networking, and Python. Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences. Previous experience working inside innovative, high-growth environments is a plus.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $200,000.00 to $250,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.